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SQL Server RunningKURT_S Function

Updated 2023-11-14 15:06:24.627000

Description

Use the scalar function RunningKURT_S to calculate the sample kurtosis of column values in an ordered resultant table, without the need for a self-join. The sample kurtosis is calculated over all the values from the first value to the last value in the ordered group or partition. If the column values are presented to the functions out of order, an error message will be generated.

Syntax

SELECT [westclintech].[wct].[RunningKURT_S](
  <@X, float,>
 ,<@RowNum, int,>
 ,<@Id, tinyint,>)

Arguments

@X

the value passed into the function. @X is an expression of type float or of a type that can be implicitly converted to float.

@RowNum

the number of the row within the group for which the sample kurtosis is being calculated. If @RowNum for the current row in a set is less than or equal to the previous @RowNum and @RowNum is not equal to 1, an error message will be generated. @RowNum is an expression of type int or of a type that can be implicitly converted to int.

@Id

a unique identifier for the RunningKURT_S calculation. @Id allows you to specify multiple running sample skewness calculations within a resultant table. @Id is an expression of type tinyint or of a type that can be implicitly converted to tinyint.

Return Type

float

Remarks

If @Id is NULL then @Id = 0.

To calculate moving sample kurtosis, use the MovingKURT_S function.

To calculate the sample kurtosis for an entire data set, use the KURTOSIS_S function.

If @RowNum is equal to 1, RunningKURT_S is equal to zero.

@RowNum must be in ascending order.

There may be cases where the order in which the data are returned to the function and the order in which the results are returned are different, generally due to parallelism. You can use OPTION(MAXDOP 1) or OPTION(MAXDOP 1,FORCE ORDER) to help eliminate this problem

Examples

In this example, we have 20 rows of data and we want to calculate the sample kurtosis of x and y starting from the first row. No te that the @Id value for each RunningKURT_S column is different.

SELECT rn,
       x,
       y,
       wct.RunningKURT_S(x, rn, NULL) as [KURT_S x],
       wct.RunningKURT_S(y, rn, 1) as [KURT_S y]
FROM
(
    SELECT 1,
           101,
           117
    UNION ALL
    SELECT 2,
           91,
           97
    UNION ALL
    SELECT 3,
           96,
           121
    UNION ALL
    SELECT 4,
           96,
           103
    UNION ALL
    SELECT 5,
           86,
           74
    UNION ALL
    SELECT 6,
           95,
           80
    UNION ALL
    SELECT 7,
           91,
           105
    UNION ALL
    SELECT 8,
           102,
           72
    UNION ALL
    SELECT 9,
           94,
           108
    UNION ALL
    SELECT 10,
           110,
           94
    UNION ALL
    SELECT 11,
           121,
           85
    UNION ALL
    SELECT 12,
           115,
           90
    UNION ALL
    SELECT 13,
           112,
           96
    UNION ALL
    SELECT 14,
           100,
           97
    UNION ALL
    SELECT 15,
           124,
           106
    UNION ALL
    SELECT 16,
           92,
           61
    UNION ALL
    SELECT 17,
           92,
           107
    UNION ALL
    SELECT 18,
           139,
           92
    UNION ALL
    SELECT 19,
           95,
           101
    UNION ALL
    SELECT 20,
           90,
           104
) n(rn, x, y);

This produces the following result.

rnxyKURT_S xKURT_S y
1101117NULLNULL
29197NULLNULL
396121NULLNULL
4961031.5-4.11489694128959
58674-0.1775147928994090.389212884542543
695800.653089374822509-1.70637468912197
7911050.238796694436977-1.07718583354361
810272-0.446379105658887-1.63506342871445
994108-0.0668571428571463-1.40746937458679
10110940.9035183955179-1.14057778810637
11121851.80974330712932-1.17954713149457
1211590-0.00554937100889941-0.997578017618969
1311296-0.6802006038621-0.767217614514457
1410097-0.44238457089804-0.554922326554543
15124106-0.685738954145421-0.53957325173014
169261-0.56349975591933-0.31799220337797
1792107-0.419582246269193-0.255917838308746
18139920.854487881313605-0.115157025183854
19951011.090290707340790.0477693152924239
20901041.225855952230780.175899602607029